Zalando Scraper 🛍️ $0.9/1k avatar

Zalando Scraper 🛍️ $0.9/1k

Pricing

from $0.80 / 1,000 results

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Zalando Scraper 🛍️ $0.9/1k

Zalando Scraper 🛍️ $0.9/1k

$0.9/1k 💰 | Fast ⚡️ | Quick Support 🚀 | Scrape Zalando category, search, and product pages; get prices, availability, sizes, and ratings. Export JSON or CSV for price monitoring and product research.

Pricing

from $0.80 / 1,000 results

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0.0

(0)

Developer

123 Webdata

123 Webdata

Maintained by Community

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0

Bookmarked

18

Total users

0

Monthly active users

10 hours ago

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Zalando Scraper

Collect structured fashion product data from Zalando product and category URLs.

Issues and feature requests

If you encounter an issue or need a field added, open an issue on the Actor page or write to hello@123webdata.com.

Output Example (simplified)

The overview shows the most useful fields in a table. Product images are displayed as thumbnails when the website provides them.

ImageProduct URLProduct IDProduct nameCurrent priceRegular priceCurrencyIn stockBrandScraped at
https://www.zalando.co.uk/anna-field-handbag-black-an651h0w3-q11.htmlAN651H0W3-Q11Handbag - black1920.99GBPtrueAnna Field by Zalando2026-08-11T14:10:00.000Z

How to scrape supported list pages

This Actor accepts individual product links in productUrls. It accepts category pages, search result pages, and filtered result pages in categoryUrls.

  1. Open a supported list page in your browser.
  2. Choose a category, run a search, and apply the filters you need.
  3. Copy the final URL from the address bar and paste it into categoryUrls.

The Actor follows the products shown on that page.

Features

  • Scrapes detailed fashion product information from Zalando product pages
  • Accepts individual product URLs and category pages, search result pages, and filtered result pages
  • Lets you limit the number of saved products and choose whether to continue through additional result pages
  • Returns structured prices, availability, sizes, and ratings for viewing, export, and analysis

Pricing

This Actor uses pay-per-event pricing. Its running costs are included.

  • Actor start: $0.02 once per run — One fixed charge for starting a run.
  • Result: $0.00089 each ($0.89 per 1,000) — A product record collected directly from a supported list page.
  • Product detail: $0.00199 each ($1.99 per 1,000) — A full product record collected from its product page.

The start charge applies once per run. Each saved product is charged either as a Result or a Product detail, never both.

Results in one runResultProduct detail
100$0.11$0.22
1,000$0.91$2.01

Apify's Free plan currently includes $5 in monthly usage credits. If the full $5 is available for this Actor, one run covers about 5,595 Results or 2,502 Product details. Other Apify usage reduces the available credit.

Input

The Actor accepts the following input parameters:

FieldTypeDescription
productUrlsarrayProduct URLs to scrape
categoryUrlsarraySupported list pages: category pages, search result pages, and filtered result pages
maxResultsPerScrapeintegerMaximum number of product records to save
usePaginationbooleanWhether to continue through additional result pages
scrapeProductDetailsbooleanEnabled returns Product detail records with the product-page fields listed below. Disabled returns Result records with the list-level fields.

What data you get in each mode

Every saved product is stored as one record. scrapeProductDetails decides which mode you receive; the lists below name every field each mode can return. A field is empty when the website does not show that information.

Result

A list-level product record with 12 declared fields:

url, product_id, name, price, regular_price, currency, sku, brand, main_image, images, canonical_url, scraped_at

Product detail

A full product record with 27 declared fields:

url, product_id, name, price, regular_price, currency, in_stock, sku, gtin, brand, category, breadcrumbs, breadcrumb_urls, main_image, images, description, description_html, color, size, material, style, attributes, rating_value, review_count, variants, canonical_url, scraped_at

Output Example (full)

The Actor stores one structured record per product. Card-only records contain only fields available on the list; detail-only fields are omitted.

{
"url": "https://www.zalando.co.uk/anna-field-handbag-black-an651h0w3-q11.html",
"product_id": "AN651H0W3-Q11",
"name": "Handbag - black",
"price": 19,
"regular_price": 20.99,
"currency": "GBP",
"in_stock": true,
"sku": "AN651H0W3-Q11",
"gtin": "4064464331014",
"brand": "Anna Field by Zalando",
"category": "Handbags",
"breadcrumbs": [
"Women",
"Accessories",
"Bags & cases",
"Handbags"
],
"breadcrumb_urls": [
"https://www.zalando.co.uk/women/",
"https://www.zalando.co.uk/bags-accessories-womens/",
"https://www.zalando.co.uk/bags-accessories-womens-bags/",
"https://www.zalando.co.uk/handbags/"
],
"main_image": "https://img01.ztat.net/article/spp-media-p1/89fba15bab684b3da59840686e467887/7c44101c574a4c849243513a6e0eee3c.jpg",
"images": [
"https://img01.ztat.net/article/spp-media-p1/89fba15bab684b3da59840686e467887/7c44101c574a4c849243513a6e0eee3c.jpg",
"https://img01.ztat.net/article/spp-media-p1/ba87e8e6825e4ba299d02fdfc26b5f21/9bc9d2311c324236acc8288eb08bc6f1.jpg?filter=packshot"
],
"description": "Material & care\nOuter material: Polyurethane\nLining: Polyester\nFabric: Faux leather\n\nDetails\nCompartments: Note compartment, zip compartment\nFastening: Magnet\nPattern: Plain\nArticle number: AN651H0W3-Q11\n\nSize & fit\nHeight: 10.0 \" (Size One Size)\nLength: 16.5 \" (Size One Size)\nWidth: 4.5 \" (Size One Size)\nCarrying handle: 10.0 \" (Size One Size)",
"description_html": "<h2>Material &amp; care</h2><dl><dt>Outer material</dt><dd>Polyurethane</dd><dt>Lining</dt><dd>Polyester</dd><dt>Fabric</dt><dd>Faux leather</dd></dl><h2>Details</h2><dl><dt>Compartments</dt><dd>Note compartment, zip compartment</dd><dt>Fastening</dt><dd>Magnet</dd><dt>Pattern</dt><dd>Plain</dd><dt>Article number</dt><dd>AN651H0W3-Q11</dd></dl><h2>Size &amp; fit</h2><dl><dt>Height</dt><dd>10.0 &quot; (Size One Size)</dd><dt>Length</dt><dd>16.5 &quot; (Size One Size)</dd><dt>Width</dt><dd>4.5 &quot; (Size One Size)</dd><dt>Carrying handle</dt><dd>10.0 &quot; (Size One Size)</dd></dl>",
"color": "black",
"size": "One Size",
"material": "Polyurethane, Polyester, Faux leather",
"style": "Plain",
"attributes": {
"outer material": "Polyurethane",
"lining": "Polyester",
"fabric": "Faux leather",
"compartments": "Note compartment, zip compartment",
"fastening": "Magnet",
"pattern": "Plain",
"article number": "AN651H0W3-Q11",
"height": "10.0 \" (Size One Size)",
"length": "16.5 \" (Size One Size)",
"width": "4.5 \" (Size One Size)",
"carrying handle": "10.0 \" (Size One Size)"
},
"rating_value": null,
"review_count": null,
"variants": [
{
"sku": "AN651H0W3-Q110ONE000",
"attributes": {
"size": "One Size"
}
}
],
"canonical_url": "https://www.zalando.co.uk/anna-field-handbag-black-an651h0w3-q11.html",
"scraped_at": "2026-08-11T14:10:00.000Z"
}

Use Cases

  • Track fashion prices and availability
  • Compare brands and product variants
  • Build assortment research datasets

Integrate with AI and automation

Use with AI through MCP

Connect your AI assistant to the Apify MCP server. It can discover and run Actors, then access the results in the same conversation. For example, ask your assistant to scrape a list of products from Zalando, compare prices, or summarize the collected data.

Run on a schedule

After one successful run, use Apify Schedules to repeat the same task hourly, daily, weekly, or with a custom cron schedule. Saved tasks are useful when you want to keep the same URLs and settings for every run.

Connect with n8n

Create an n8n account and add the verified Apify node to a workflow. Choose Run an Actor and Get Dataset when the workflow should start this Actor, wait for completion, and receive the product rows for the next node. See the Apify integration for n8n.

Connect with Make

Create a Make account and add the Apify Run an Actor module. Follow it with Get Dataset Items to pass the product rows to Google Sheets, a database, email, or another Make module. For longer runs, use Watch Actor Runs followed by Get Dataset Items.

Read the Make integration guide.